EMRPPObj-class: Class '"EMRPPObj"'

In Blossom: Statistical Comparisons with Distance-Function Based Permutation Tests

Description

The EMRPPObj class holds model specification and output from the Multiresponse permutation procedure. The summary.EMRPPObj class represents the summary of these objects.

Objects from the Class

Objects can be created by calls of the form new("EMRPPObj", ...) or, more commonly, via the mrpp function with exact=TRUE specification.

Slots

inputData:

A data.frame used for the analysis. The first column is the group (if supplied) and the second is the variable for which the analysis was performed.

GpSizes:

A vector of length NumGrps specifying group sizes.

l_HasExcess:

A logical indicator of whether an excess group was used.

d_ExcessVal:

The excess value used in the analysis.

Hotelling:

A logical indicating Hotelling's variance/covariance standardization of the multiple dependent variables.

Commens:

A logical value indicating whether multivariable commensuration was performed.

MaxDist:

The maximum distance used in the analysis. Inter-object distances greater than this value are replaced with this value.

Interval:

The number of units in the circular measure if a circular analysis was performed.

DistExp:

The exponent used in distance calculations.

CForm:

The value of the group weighting option that was used in the analysis. See mrpp for more details.

NumGrps:

The number of groups in the input data.

NumObs:

The total number of observations in the original data set including those in the excess group.

NumVars:

The number of response variables used in the multiresponse sequence procedure.

da_GpVals:

A vector of group labels used internally in Fortran.

da_GroupV:

A vector with group labels used in Fortran for each observation.

ObsDelta:

The observed test statistic. This is the average of the observed intragroup distances weighted by relative group size.

YHot:

If Hotelling commensuration was specified this is the variance/covariance matrix.

P_value:

The exact probability of a smaller or equal delta under the null hypothesis.

Call:

The original function call.

group.names:

The names of the groups used in the analysis.

CommAvgDist:

If commensuration was applied this is a vector of commensurated distances.

Methods

print

signature(x = "EMRPPObj"): Prints a terse summary of the exact MRPP test.

pvalue

signature(x = "EMRPPObj"): Extracts the exact p-value.

show

signature(object = "EMRPPObj"): Same as print.

summary

signature(object = "EMRPPObj"): Prints a detailed summary of the exact MRPP test.

See Also

mrpp, MRPPObj

Examples

out <- mrpp(variables = c(distance,elev),group = sex,data = bgrouse,exact = TRUE)
summary(out)

Blossom documentation built on May 29, 2017, 10:55 p.m.